A Personal Growth System Supporting the Sustainable Development of Students Based on Intelligent Graph Element Technology

Fengying Li, Ge Yu, Congjing Mu, Qingshui Xue, Shih-Pang Tseng and Tongchao Wang
Additional contact information
Fengying Li: Lifelong Education College, Shanghai Jiaotong University, Shanghai 200240, China
Ge Yu: School of Education, Shanghai Jiaotong University, Shanghai 200240, China
Congjing Mu: School of Education, Shanghai Jiaotong University, Shanghai 200240, China
Qingshui Xue: School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China
Shih-Pang Tseng: School of Software and Big Data, Changzhou College of Information Technology, Changzhou 213164, China
Tongchao Wang: Lifelong Education College, Shanghai Jiaotong University, Shanghai 200240, China

Sustainability, 2022, vol. 14, issue 12, 1-21

Abstract: In recent years, the sustainable development of education has become an increasing concern, and new technology characterized by intelligence has played an important role in promoting it. However, facing the endless stream of teaching platforms, learning platforms, student management platforms and learning APPs, teachers and students are tired of coping. Meanwhile, there has been a serious lack of real information about student growth, especially in the fields of electronic graphics, and audio and video materials. At present, there is no continuous student growth system that can be used over the course of their life, which is very unfavorable to their individual development. Graphic code is a technology with the potential to solve these problems; however, the existing graphic code technology suffers from clear deficiencies in the realization of a personalized student growth system that incorporates intelligence, security and sustainability. In response to this, this paper proposes a new generation of graphic code technology, namely intelligent graph element technology (IGET). Further, a new sustainable personalized student growth system model is designed based on artificial intelligence, big data analysis and intelligent graph element technologies, and the architecture and implementation of this system platform are completed. Finally, a student growth system based on intelligent code is verified through by an analysis of the results of a questionnaire survey. The research results show that, compared with the traditional student management system, the student growth system based on an intelligent graph element code has obvious advantages in convenience, intelligence, precision, security, and sustainability.

Keywords: intelligent graph element technology; smart code; sustainability; personalized education; growth system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/12/7196/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/12/7196/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:12:p:7196-:d:837131

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().